Method describe

src/danfojs-base/core/frame.ts:1792–1813

* Generate descriptive statistics for all numeric columns. * Descriptive statistics include those that summarize the central tendency, * dispersion and shape of a dataset’s distribution, excluding NaN values. * @example * ``` * const df = new DataFrame([[1, 2], [3, 4]], { co

()

     * ```
     */
    describe(): DataFrame {
        const numericColumnNames = this.columns.filter(name => this.$getColumnDtype(name) !== "string")
        const index = ["count", "mean", "std", "min", "median", "max", "variance"];
        const statsObject: any = {};
        for (let i = 0; i < numericColumnNames.length; i++) {
            const colName = numericColumnNames[i];
            const $count = (this.$getColumnData(colName) as Series).count();
            const $mean = mean(this.$getColumnData(colName, false) as number[]);
            const $std = std(this.$getColumnData(colName, false) as number[]);
            const $min = (this.$getColumnData(colName) as Series).min();
            const $median = median(this.$getColumnData(colName, false) as number[]);
            const $max = (this.$getColumnData(colName) as Series).max();
            const $variance = variance(this.$getColumnData(colName, false) as number[]);

            const stats = [$count, $mean, $std, $min, $median, $max, $variance];
            statsObject[colName] = stats;

        }

        const df = new DataFrame(statsObject, { index });
        return df
    }

    /**
     * Drops all rows or columns with missing values (NaN)